Learning based methods have shown very promising results for the task of depth estimation
in single images. However, most existing approaches treat depth prediction as a supervised …

… We additionally show we can get higher scores at a larger 1024 × 320 resolution, similar to
[47] – see supplementary Section G. These high resolution numbers are bolded if they beat …

Visual object analysis researchers are increasingly experimenting with video, because it is
expected that motion cues should help with detection, recognition, and other analysis tasks. …

We propose an algorithm for semantic segmentation based on 3D point clouds derived from
ego-motion. We motivate five simple cues designed to model specific patterns of motion and …

Translating or rotating an input image should not affect the results of many computer vision
tasks. Convolutional neural networks (CNNs) are already translation equivariant: input image …

While crowds of various subjects may offer applicationspecific cues to detect individuals, we
demonstrate that for the general case, motion itself contains more information than …

… [23] Clément Godard, Oisin Mac Aodha, and Gabriel J Brostow. Unsupervised monocular
depth … Brostow. Digging into self-supervised monocular depth estimation. In ICCV, 2019. …

Free-viewpoint image-based rendering (IBR) is a standing challenge. IBR methods combine
warped versions of input photos to synthesize a novel view. The image quality of this …

Passive acoustic sensing has emerged as a powerful tool for quantifying anthropogenic
impacts on biodiversity, especially for echolocating bat species. To better assess bat population …

Monocular depth estimators can be trained with various forms of self-supervision from
binocular-stereo data to circumvent the need for high-quality laser-scans or other ground-truth data…